The Biomedical models Hub (BimmoH) dataset
BimmoH’s project developed the first public largest, continuously updated, highly curated knowledge database of human biology based experimental models for biomedical research, powered by interpretable Artificial Intelligence models and designed to structure and consolidate information about models that support biomedical research.
The database employs the power of machine learning techniques to systematically analyse published scientific literature available in PubMed and identify relevant articles, indexing them with relevant vocabularies (such as Anatomy, Histology and Cells; Clinical conditions, Diseases and Pathophysiology; Models).
It is designed to support a wide range of users, including researchers, project evaluators, industry professionals, and regulatory bodies with the aim to support the promotion of alternatives to animal models in biomedical research, addressing both ethical concerns and the need for greater translatability in preclinical studies.
DECEUNINCK Pierre;
BARROSO João;
BRIDIO Sara;
CHINCHIO Eleonora;
GASTALDELLO Annalisa;
MENNECOZZI Milena;
SELFA ASPIROZ Lucia;
STRACCIA Marco;
WHELAN Maurice;
2026-04-10
Publications Office of the European Union
JRC144237
978-92-68-38821-1 (online),
1831-9424 (online),
EUR 40668,
OP KJ-01-26-136-EN-N (online),
https://publications.jrc.ec.europa.eu/repository/handle/JRC144237,
10.2760/0117069 (online),
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